Zihang Lai

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Supervised Learning

Successive Frames

Visual Representations

Top Venues

Publications

Zihang Lai
Exploring Simple Open-Vocabulary Semantic Segmentation. CoRR (2024)
Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin
Extreme Masking for Learning Instance and Distributed Visual Representations. Trans. Mach. Learn. Res. 2023 (2023)
Xuran Pan, Zihang Lai, Shiji Song, Gao Huang
ActiveNeRF: Learning Where to See with Uncertainty Estimation. ECCV (33) (2022)
Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang
Learning to Weight Samples for Dynamic Early-Exiting Networks. ECCV (11) (2022)
Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin
Extreme Masking for Learning Instance and Distributed Visual Representations. CoRR (2022)
Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang
Domain Adaptation via Prompt Learning. CoRR (2022)
Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang
Learning to Weight Samples for Dynamic Early-exiting Networks. CoRR (2022)
Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition. CVPR (2022)
Xuran Pan, Zihang Lai, Shiji Song, Gao Huang
ActiveNeRF: Learning where to See with Uncertainty Estimation. CoRR (2022)
Zihang Lai, Senthil Purushwalkam, Abhinav Gupta
The Functional Correspondence Problem. ICCV (2021)
Zihang Lai, Sifei Liu, Alexei A. Efros, Xiaolong Wang
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion. ICCV (2021)
Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition. CoRR (2021)
Zihang Lai, Sifei Liu, Alexei A. Efros, Xiaolong Wang
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion. CoRR (2021)
Zihang Lai, Senthil Purushwalkam, Abhinav Gupta
The Functional Correspondence Problem. CoRR (2021)
Zihang Lai, Erika Lu, Weidi Xie
MAST: A Memory-Augmented Self-Supervised Tracker. CVPR (2020)
Zihang Lai, Erika Lu, Weidi Xie
MAST: A Memory-Augmented Self-supervised Tracker. CoRR (2020)
Zihang Lai, Weidi Xie
Self-supervised Learning for Video Correspondence Flow. CoRR (2019)
Junwen Bai, Zihang Lai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes
Imitation Refinement for X-ray Diffraction Signal Processing. ICASSP (2019)
Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark E. Campbell, Kilian Q. Weinberger
Anytime Stereo Image Depth Estimation on Mobile Devices. ICRA (2019)
Zihang Lai, Weidi Xie
Self-supervised Video Representation Learning for Correspondence Flow. BMVC (2019)
Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark Campbell, Kilian Q. Weinberger
Anytime Stereo Image Depth Estimation on Mobile Devices. CoRR (2018)
Zhihua Wang, Stefano Rosa, Yishu Miao, Zihang Lai, Linhai Xie, Andrew Markham, Niki Trigoni
Neural Allocentric Intuitive Physics Prediction from Real Videos. CoRR (2018)
Bo Yang, Zihang Lai, Xiaoxuan Lu, Shuyu Lin, Hongkai Wen, Andrew Markham, Niki Trigoni
Learning 3D Scene Semantics and Structure From a Single Depth Image. CVPR Workshops (2018)